AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Results show that accessible parameter information need not be expressed in forecasts when input changes miss the required hidden-state direction, and formalize these properties as Dynamical Parameters, including trend slope, oscillation frequency, and autoregressive dependence.
A controlled simulator-generated online multilabel CED testbed built from real-world multimodal sensor clips and rule-generated CE labels is introduced, with stress-test settings that vary sensor noise, distribution shift, and the window size used to segment streaming sensor sequences.
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